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. 2023 Apr 26;37(6):1216–1233. doi: 10.1038/s41375-023-01895-z

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© The Author(s) 2023

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 3 — A Assignment of gene ranks to the cumulative fraction of genes using BETA identifies EGR3 as a direct activator and repressor of target genes. Analysis of the EGR3 regulome using the PANTHER database with up- and downregulated target genes subclassified considering their corresponding protein class (B), biological function/GO term (C) and chromosomal location (D). Numbers indicate the count of up- (blue) and downregulated (red) genes. E Volcano plot visualizing genes of the Reactome BCR geneset according to their differential expression indicated as the log2-fold change (log2fc) and p value (MACE-Seq data). F Volcano plot visualizing genes of the Reactome BCR geneset according to their differential expression (log2fc) and direct EGR3 regulation (rank product) (MACE-Seq and BETA data).